Difference between revisions of "File:Fig5 Rubel FInNeuroinformatics2016 10.jpg"

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Description	Figure 5. Example showing the application of index map relationships for data selection. (A) First we apply the selection [36, 70] (red arrow) to our source, MSI dataset. (B) As expected, this results in the selection of a single mass spectrum. (C) We next map the same selection to our target dataset. From the red arrow we can see that the selection was mapped correctly to same relative location as in our source, image. (D) The pixel plot illustrates that the mapping resulted, as expected, in the selection of a 5 × 5 sub-image from our target image. In (C,D) we use the color map shown on the right to map gray-scale values in the monochrome image to color.
Source	Rübel, O.; Dougherty, M.; Prabhat; Denes, P.; Conant, D.; Chang, E.F.; Bouchard, K. (2016). "Methods for specifying scientific data standards and modeling relationships with applications to neuroscience". Frontiers in Neuroinformatics 10: 48. doi:10.3389/fninf.2016.00048. PMID 27867355.
Date	2016
Author	Rübel, O.; Dougherty, M.; Prabhat; Denes, P.; Conant, D.; Chang, E.F.; Bouchard, K.
Permission (Reusing this file)	Creative Commons Attribution 4.0 International
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+==Summary==
+{{Information
+|Description='''Figure 5.''' Example showing the application of index map relationships for data selection. '''(A)''' First we apply the selection [36, 70] (red arrow) to our source, MSI dataset. '''(B)''' As expected, this results in the selection of a single mass spectrum. '''(C)''' We next map the same selection to our target dataset. From the red arrow we can see that the selection was mapped correctly to same relative location as in our source, image. '''(D)''' The pixel plot illustrates that the mapping resulted, as expected, in the selection of a 5 × 5 sub-image from our target image. In '''(C,D)''' we use the color map shown on the right to map gray-scale values in the monochrome image to color.
+|Source={{cite journal |title=Methods for specifying scientific data standards and modeling relationships with applications to neuroscience |journal=Frontiers in Neuroinformatics |author=Rübel, O.; Dougherty, M.; Prabhat; Denes, P.; Conant, D.; Chang, E.F.; Bouchard, K. |volume=10 |pages=48 |year=2016 |doi=10.3389/fninf.2016.00048 |pmid=27867355}}
+|Author=Rübel, O.; Dougherty, M.; Prabhat; Denes, P.; Conant, D.; Chang, E.F.; Bouchard, K.
+|Date=2016
+|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
+}}
 == Licensing ==
 {{cc-by-4.0}}